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Limited By:	Subject = impact analysis;

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Framework for the impact analysis and implementation of Clinical Prediction Rules (CPRs). (2011)

Wallace, Emma; Smith, Susan M; Perera-Salazar, Rafael; Vaucher, Paul; McCowan, Colin; C...

Framework for the impact analysis and implementation of Clinical Prediction Rules (CPRs). (2011)

Wallace, Emma; Smith, Susan M; Perera-Salazar, Rafael; Vaucher, Paul; McCowan, Colin; Collins, Gary; Verbakel, Jan; Lakhanpaul, Monica; Fahey, Tom; Idapp Group, International Diagnostic And Prognosis Prediction Group

Abstract:

This article is also available from <a href="http://www.biomedcentral.com">www.biomedcentral.com</a>
ABSTRACT: Clinical Prediction Rules (CPRs) are tools that quantify the contribution of symptoms, clinical signs and available diagnostic tests, and in doing so stratify patients according to the probability of having a target outcome or need for a specified treatment. Most focus on the derivation stage with only a minority progressing to validation and very few undergoing impact analysis. Impact analysis studies remain the most efficient way of assessing whether incorporating CPRs into a decision making process improves patient care. However there is a lack of clear methodology for the design of high quality impact analysis studies. We have developed a sequential four-phased framework based on the literature and the collective experience of our international working group to help researchers identify and overcome the specific chal...

https://epubs.rcsi.ie/gpart/12

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Impact analysis studies of clinical prediction rules relevant to primary care: a systematic review (2016)

Wallace, Emma; Uijen, Maike J M; Clyne, Barbara; Zarabzadeh, Atieh; Keogh, Claire; Galv...

Impact analysis studies of clinical prediction rules relevant to primary care: a systematic review (2016)

Wallace, Emma; Uijen, Maike J M; Clyne, Barbara; Zarabzadeh, Atieh; Keogh, Claire; Galvin, Rose; Smith, Susan M.; Fahey, Tom

Abstract:

OBJECTIVES: Following appropriate validation, clinical prediction rules (CPRs) should undergo impact analysis to evaluate their effect on patient care. The aim of this systematic review is to narratively review and critically appraise CPR impact analysis studies relevant to primary care. SETTING: Primary care. PARTICIPANTS: Adults and children. INTERVENTION: Studies that implemented the CPR compared to usual care were included. STUDY DESIGN: Randomised controlled trial (RCT), controlled before-after, and interrupted time series. PRIMARY OUTCOME: Physician behaviour and/or patient outcomes. RESULTS: A total of 18 studies, incorporating 14 unique CPRs, were included. The main study design was RCT (n=13). Overall, 10 studies reported an improvement in primary outcome with CPR implementation. Of 6 musculoskeletal studies, 5 were effective in altering targeted physician behaviour in ordering imaging for patients presenting with ankle, knee and neck musculoskeletal injuries. Of 6 cardiova...

http://hdl.handle.net/10344/4998

Marked Mark

Impact analysis studies of clinical prediction rules relevant to primary care: a systematic review. (2016)

Wallace, Emma; Uijen, Maike JM; Clyne, Barbara; Zarabzadeh, Atieh; Keogh, Claire; Galvi...

Impact analysis studies of clinical prediction rules relevant to primary care: a systematic review. (2016)

Wallace, Emma; Uijen, Maike JM; Clyne, Barbara; Zarabzadeh, Atieh; Keogh, Claire; Galvin, Rose; Smith, Susan M; Fahey, Tom

Abstract:

This article is also available at <a href="http://bmjopen.bmj.com/content/6/3/e009957.full.pdf+html">http://bmjopen.bmj.com/content/6/3/e009957.full.pdf+html</a>
OBJECTIVES: Following appropriate validation, clinical prediction rules (CPRs) should undergo impact analysis to evaluate their effect on patient care. The aim of this systematic review is to narratively review and critically appraise CPR impact analysis studies relevant to primary care. SETTING: Primary care. PARTICIPANTS: Adults and children. INTERVENTION: Studies that implemented the CPR compared to usual care were included. STUDY DESIGN: Randomised controlled trial (RCT), controlled before-after, and interrupted time series. PRIMARY OUTCOME: Physician behaviour and/or patient outcomes. RESULTS: A total of 18 studies, incorporating 14 unique CPRs, were inc...

https://epubs.rcsi.ie/gpart/93

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Modelling the impact of the recession on greenhouse gases from agriculture in Ireland (2014)

Gillespie, Patrick R.; Donnellan, Trevor; Hanrahan, Kevin

Modelling the impact of the recession on greenhouse gases from agriculture in Ireland (2014)

Gillespie, Patrick R.; Donnellan, Trevor; Hanrahan, Kevin

Abstract:

working paper
The effects of the recession of 2009 have been felt across the economy of Ireland. The rapid contraction in economic activity has had its effect on greenhouse gas (GHG) emissions as well. It is possible to model the recession’s effect on agricultural GHG in the FAPRI-Ireland GHG model using the latest international commodity price projections from Food and Agricultural Policy Research Institute (FAPRI). The FAPRI-Ireland GHG model creates projections of future levels of Irish agricultural activity and then uses a mix of national and default emissions factors to convert this activity to estimates of annual GHG emissions from now to 2020. Our model is shocked using post-downturn commodity price projections for a selection of exogenous prices. The changes to these international commodity prices reflect the international market response to the downturn, and as such they have an impact on the level of GHG emitted by the agricultural sector in Ireland. This analysis find...

http://hdl.handle.net/11019/701

Displaying Results 1 - 4 of 4 on page 1 of 1